{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center>Unsupervised Adversarial Image Inpainting</center>\n",
    "\n",
    "##### Standard settings\n",
    "\n",
    "| Parameter | Value |\n",
    "| --- | --- |\n",
    "| nz | 16 |\n",
    "| $\\lambda_{L1}$ | 1 |\n",
    "| $\\lambda_{z}$ | 1|\n",
    "| $num\\_sample$ | 8 |\n",
    "| $gan\\_mode$ | hinge |\n",
    "\n",
    "modules:\n",
    "  gen:\n",
    "    _name: pix2pix (this is resnet generator)\n",
    "    input_nc: 3\n",
    "    ngf: 16\n",
    "    nz: *nz\n",
    "    init_name: orthogonal\n",
    "    init_gain: 0.02\n",
    "\n",
    "  dis:\n",
    "    _name: biggan_dis\n",
    "    input_nc: 3\n",
    "    ndf: 16\n",
    "    init_name: orthogonal\n",
    "    init_gain: 1.41\n",
    "\n",
    "  enc:\n",
    "    _name: biggan_dis\n",
    "    input_nc: 3\n",
    "    ndf: 16\n",
    "    output_dim: *nz\n",
    "    init_name: orthogonal\n",
    "    init_gain: 1.41\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import functools\n",
    "from tqdm.notebook import tqdm\n",
    "import random\n",
    "\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "from torch.nn import Parameter as P\n",
    "from torch.nn.utils import spectral_norm\n",
    "import torch.utils.data as data\n",
    "from torchvision import transforms, datasets\n",
    "\n",
    "from src.models.discriminator import *\n",
    "from src.models.generator import *\n",
    "from src.models.pix2pix_factory import *\n",
    "from src.corruptions_static import *\n",
    "from src.dataset_experiment import *\n",
    "\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "device = 'cpu'#'cuda' if torch.cuda.is_available() else 'cpu'\n",
    "EPOCHS = 50\n",
    "BATCH_SIZE = 32\n",
    "IM_SIZE = 128\n",
    "ngf = 16\n",
    "ndf = 16\n",
    "nz = 16 # Latent vector dimensions\n",
    "niter = 50\n",
    "DATASET = \"CIFAR\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Files already downloaded and verified\n",
      "(3, 128, 128) (3, 128, 128)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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/rpfwbHu8ZQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "transform = transforms.Compose([transforms.Resize(IM_SIZE),\n",
    "                                transforms.ToTensor(),\n",
    "                                   transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])\n",
    "\n",
    "if DATASET == \"CIFAR\":\n",
    "    \n",
    "    # Load CIFAR-10 dataset\n",
    "    train_set = datasets.CIFAR10(root='./data', train=True,\n",
    "                                    download=True,\n",
    "                                   transform = transform)\n",
    "\n",
    "    train_loader = torch.utils.data.DataLoader(train_set, \n",
    "                                                batch_size=BATCH_SIZE,\n",
    "                                                shuffle=True,\n",
    "                                                num_workers=0,\n",
    "                                                drop_last=True)\n",
    "\n",
    "elif DATASET == \"CELEBA\":\n",
    "    \n",
    "    # Load CelebA dataset\n",
    "    train_set = datasets.CelebA(root='./data', \n",
    "                                       split='train',\n",
    "                                       download=False,\n",
    "                                       transform = transform)\n",
    "\n",
    "    train_loader = torch.utils.data.DataLoader(train_set, \n",
    "                                                batch_size=BATCH_SIZE,\n",
    "                                                shuffle=True,\n",
    "                                                num_workers=0,\n",
    "                                                drop_last=True)\n",
    "\n",
    "# Corruption\n",
    "corr = KeepPatch(im_size=IM_SIZE)\n",
    "#corr = RemovePixelDark(im_size=IM_SIZE)\n",
    "\n",
    "random = torch.ones((1, 3, 128, 128))*1\n",
    "\n",
    "corrupted_random = corr(random)\n",
    "\n",
    "random = random[0].cpu().numpy()\n",
    "corrupted_random = corrupted_random[0][0].cpu().numpy()\n",
    "print(np.shape(random), np.shape(corrupted_random))\n",
    "plt.imshow(random.swapaxes(0,2))\n",
    "plt.show()\n",
    "\n",
    "plt.imshow(corrupted_random.swapaxes(0,2))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Adding attention layer in D at resolution 32\n",
      "Adding attention layer in D at resolution 32\n"
     ]
    }
   ],
   "source": [
    "# Neural nets\n",
    "gen = ResnetGenerator(input_nc=3, ngf=ngf, nz=nz)\n",
    "dis = Discriminator(resolution=64, ndf=ndf, nz=nz)\n",
    "enc = Discriminator(resolution=64, ndf=ndf, nz=nz, output_dim=nz)\n",
    "\n",
    "# Optimisers\n",
    "optim_gen = torch.optim.Adam(gen.parameters(), lr=4e-5, betas=(.0,.99))\n",
    "optim_dis = torch.optim.Adam(dis.parameters(), lr=1e-5, betas=(.0,.99))\n",
    "#optim_dis = torch.optim.SGD(dis.parameters(), lr=1e-2, momentum=0.9)\n",
    "\n",
    "kwargs = {\"gen\": gen,\n",
    "          \"dis\": dis,\n",
    "          \"enc\": enc,\n",
    "          \"optim_gen\": optim_gen,\n",
    "          \"optim_dis\": optim_dis,\n",
    "          \"nz\": nz,\n",
    "          \"train\": train_loader,\n",
    "          \"niter\": 100,\n",
    "          \"nepoch\": EPOCHS,\n",
    "          \"ngf\": ngf,\n",
    "          \"ndf\": ndf,\n",
    "          \"corruption\": corr}\n",
    "\n",
    "experiment = UnsupervisedImageInpainting(**kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Loop over data\n",
    "\n",
    "for i in range(3):\n",
    "\n",
    "    sample = next(iter(train_loader))\n",
    "    img = sample[0][0]*0.5 + 0.5\n",
    "\n",
    "    img = img.cpu().numpy()\n",
    "    plt.imshow(img.swapaxes(0,2).swapaxes(0,1))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "36c37eb3a031499ebaae784c37c840bd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=1562.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LOOK HERE: torch.FloatTensor, torch.BoolTensor, torch.FloatTensor\n",
      "\n"
     ]
    },
    {
     "ename": "RuntimeError",
     "evalue": "expected device cpu but got device cuda:0",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-12-be2462cf9f2c>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     16\u001b[0m         \u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcorr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     17\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 18\u001b[1;33m         \u001b[0mexperiment\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptimize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0my\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmask\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdevice\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdevice\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32m~\\Desktop\\playground\\unsupervised_adversarial_image_inpainting\\src\\dataset_experiment.py\u001b[0m in \u001b[0;36moptimize\u001b[1;34m(self, x, y, theta, label, **kwargs)\u001b[0m\n\u001b[0;32m    361\u001b[0m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mz\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msample_\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    362\u001b[0m                 pred_real, pred_fake = self.GDE(y=self.y, x=self.x, z=self.z, theta=theta, label=label,\n\u001b[1;32m--> 363\u001b[1;33m                                                 train_G=False)\n\u001b[0m\u001b[0;32m    364\u001b[0m                 \u001b[0mloss_dis_real\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mloss_dis_fake\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mgan_loss\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mD_loss\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpred_fake\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mpred_real\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    365\u001b[0m                 \u001b[0mloss_dis\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m(\u001b[0m\u001b[0mloss_dis_real\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0mloss_dis_fake\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m/\u001b[0m \u001b[0mfloat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mnum_D_acc\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mc:\\users\\greg\\desktop\\standard_env\\lib\\site-packages\\torch\\nn\\modules\\module.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *input, **kwargs)\u001b[0m\n\u001b[0;32m    548\u001b[0m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_slow_forward\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0minput\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    549\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 550\u001b[1;33m             \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mforward\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0minput\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    551\u001b[0m         \u001b[1;32mfor\u001b[0m \u001b[0mhook\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_forward_hooks\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mvalues\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    552\u001b[0m             \u001b[0mhook_result\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mhook\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0minput\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mresult\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\Desktop\\playground\\unsupervised_adversarial_image_inpainting\\src\\dataset_experiment.py\u001b[0m in \u001b[0;36mforward\u001b[1;34m(self, y, x, z, theta, label, train_G)\u001b[0m\n\u001b[0;32m    262\u001b[0m             \u001b[0mx_hat\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx_hat_mask\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcorruption\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx_hat_orig\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtheta\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    263\u001b[0m             \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"LOOK HERE: {}, {}, {}\"\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx_hat\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0my\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 264\u001b[1;33m             \u001b[0mx_hat\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mx_hat\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mtheta\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlong\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdevice\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;33m+\u001b[0m \u001b[0my\u001b[0m \u001b[1;33m*\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;33m~\u001b[0m\u001b[0mtheta\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mlong\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdevice\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    265\u001b[0m             \u001b[0my_tilde\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mtheta2\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mcorruption\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx_hat\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    266\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mRuntimeError\u001b[0m: expected device cpu but got device cuda:0"
     ]
    }
   ],
   "source": [
    "counter = 0\n",
    "\n",
    "for epoch in range(1, EPOCHS+1):\n",
    "\n",
    "    for inputs, targets in tqdm(train_loader):\n",
    "        \n",
    "        counter+=1\n",
    "        \n",
    "        if counter > 2:\n",
    "            break\n",
    "\n",
    "        x = torch.Tensor(inputs.float()).to(device)\n",
    "        label = torch.Tensor(targets.float()).double().to(device)\n",
    "        mask = corr.sample_theta(x.shape) # Theta not currently used...\n",
    "        mask = torch.Tensor(mask).bool()\n",
    "        y, mask = corr(x, theta=mask)\n",
    "        \n",
    "        experiment.optimize(x = None, y=y, label=None, theta=mask, device=device, **kwargs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'cpu'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "device"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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